Connectivity Estimation

Connectivity Estimation is a methodological framework within population connectivity studies that quantifies the degree and pattern of genetic, demographic, or functional exchange among subpopulations to infer the structure and dynamics of interconnected populations.

126

Publications

12.3K

Citations

555

Authors

337

Institutions

Publications per year

2017–2026

60

Authors

555

  1. LA
    Laura Astolfi

    Sapienza University of Rome, Italy

    10 publications · 305 citations

    10

    h-index

  2. JT
    Jlenia Toppi

    Sapienza University of Rome, Italy

    8 publications · 244 citations

    8

    h-index

  3. DM
    Donatella Mattia

    Fondazione Santa Lucia, Italy

    7 publications · 220 citations

    7

    h-index

  4. FB
    Fabio Babiloni

    Sapienza University of Rome, Italy

    5 publications · 142 citations

    5

    h-index

  5. SM
    Stephen M. Smith

    University of Oxford, United Kingdom

    4 publications · 1.7K citations

    4

    h-index

1–5 of 555

Venues

  1. NeuroImage

    13 publications · 2K citations

    13

    h-index

  2. Journal of Neuroscience Methods

    5 publications · 169 citations

    5

    h-index

  3. IEEE Transactions on Biomedical Engineering

    3 publications · 174 citations

    3

    h-index

  4. Frontiers in Neuroscience

    3 publications · 4K citations

    3

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 3 publications · 56 citations

    3

    h-index

1–5